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Lung cancer differential diagnosis based on the computer assisted radiology: The state of the art
The concepts of the modern computer-aided diagnosis (CAD), the methods of pulmonary nodules detection and facts derived from the available literature on the pulmonary nodule differential CAD topic are compiled in one source and described in some details. Several issues of the lung cancer epidemiolog...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Scientific Literature, Inc.
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3389846/ https://www.ncbi.nlm.nih.gov/pubmed/22802764 |
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author | Sprindzuk, M.V. Kovalev, V.A. Snezhko, E.V. Kharuzhyk, S.A. |
author_facet | Sprindzuk, M.V. Kovalev, V.A. Snezhko, E.V. Kharuzhyk, S.A. |
author_sort | Sprindzuk, M.V. |
collection | PubMed |
description | The concepts of the modern computer-aided diagnosis (CAD), the methods of pulmonary nodules detection and facts derived from the available literature on the pulmonary nodule differential CAD topic are compiled in one source and described in some details. Several issues of the lung cancer epidemiology and an early diagnosis are discussed. The analysis of the performed research shows an evidence that various CAD systems can be successfully applied for chest radiographs, computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET). These modalities can serve as a useful tool for a practicing medical professional facing the burden of a routine diagnostic job. |
format | Online Article Text |
id | pubmed-3389846 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | International Scientific Literature, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-33898462012-07-16 Lung cancer differential diagnosis based on the computer assisted radiology: The state of the art Sprindzuk, M.V. Kovalev, V.A. Snezhko, E.V. Kharuzhyk, S.A. Pol J Radiol Review Article The concepts of the modern computer-aided diagnosis (CAD), the methods of pulmonary nodules detection and facts derived from the available literature on the pulmonary nodule differential CAD topic are compiled in one source and described in some details. Several issues of the lung cancer epidemiology and an early diagnosis are discussed. The analysis of the performed research shows an evidence that various CAD systems can be successfully applied for chest radiographs, computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET). These modalities can serve as a useful tool for a practicing medical professional facing the burden of a routine diagnostic job. International Scientific Literature, Inc. 2010 /pmc/articles/PMC3389846/ /pubmed/22802764 Text en © Pol J Radiol, 2010 This is an open access article. Unrestricted non-commercial use is permitted provided the original work is properly cited. |
spellingShingle | Review Article Sprindzuk, M.V. Kovalev, V.A. Snezhko, E.V. Kharuzhyk, S.A. Lung cancer differential diagnosis based on the computer assisted radiology: The state of the art |
title | Lung cancer differential diagnosis based on the computer assisted radiology: The state of the art |
title_full | Lung cancer differential diagnosis based on the computer assisted radiology: The state of the art |
title_fullStr | Lung cancer differential diagnosis based on the computer assisted radiology: The state of the art |
title_full_unstemmed | Lung cancer differential diagnosis based on the computer assisted radiology: The state of the art |
title_short | Lung cancer differential diagnosis based on the computer assisted radiology: The state of the art |
title_sort | lung cancer differential diagnosis based on the computer assisted radiology: the state of the art |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3389846/ https://www.ncbi.nlm.nih.gov/pubmed/22802764 |
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